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Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Methods and devices to improve cancer imaging and targeted radiotherapy

Prof Keall's research team is part of Sydney Medical School-Central and is located at the Australian Technology Park. It is a multidisciplinary team of physicists, engineers, mathem more...

Supervisor(s): Keall, Paul (Professor)

Using a patient’s respiratory and cardiac signal to adjust image acquisition.

Imaging a lung tumour is difficult because the tumour and organs are blurred as we breathe and our heart beats. The aim of this project is to eliminate blurring caused by respirato more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)

In traditional Chinese medical science (TCMS), these is a famous theory and practice of examining people’s health condition and diagnosing various diseases based on the pulse more...

Supervisor(s): Li, Yonghui (Professor), Vucetic, Branka (Professor)

An innovative synthesis technique to fabricate nano-sized calcium phosphate particles

The project aims to develop a novel method to fabricate homogenous and non-aggregated nano-sized hydroxyapatite (HA) particles capable of delivering therapeutic nucleic acids into t more...

Supervisor(s): Rohanizadeh, Ramin (Dr)

Encapsulated Next generation perovskite solar cells

This project will build the next generation of photovoltaic solar cells for addressing the air-conditioning load in buildings by converting their facades to energy harvesting surfac more...

Supervisor(s): McKenzie, David (Professor)

Imaging a patient while they move

Diagnosing knee, shoulder and back complaints can be difficult because we currently cannot image a patient as they walk or pick up an object. The aim of this project is to develop more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

Electrical impedance modelling for implants

Neuromodulation implant stimulation and control is currently limited by the impedance of the surrounding tissue. The aim is to develop a 3D FEM computer model and an agar gel based more...

Supervisor(s): McEwan, Alistair (Professor)